Courses may be offered in one of the following modalities:
If you are enrolled in courses delivered in traditional or hybrid modalities, you will be expected to attend face-to-face instruction as scheduled.
Semester: | Fall 2024 |
Number: | 0503-645-011 |
Instructor: | Michael Moore |
Days: | Monday 4:05 pm - 5:05 pm |
Note: | Traditional In-Person Class |
Location: | Garden City - Hy Weinberg Center 101 |
Credits: | |
Notes: |
Student must register for Lecture and Lab |
Course Materials: | View Text Books |
Description: |
This advanced quantitative statistics course exposes doctoral students to topics in multivariate statistcal analysis such as advanced multiple regression, structural equation modeling, multivariate categorical data analysis factor and cluster analysis, multivariate categorical data analysis, discriminant analysis and classification techniques,canonical analysis and other inter-battery approach. |
Learning Goals: |
The primary learning objectives of the course are: 1. To enable graduate students to perform statistical analyses for their own research2. To enable graduate students to understand published research3. To establish groundwork for more advanced courses in multivariate analysis, psychometrics, and statistical modeling *The learning goals displayed here are those for one section of this course as offered in a recent semester, and are provided for the purpose of information only. The exact learning goals for each course section in a specific semester will be stated on the syllabus distributed at the start of the semester, and may differ in wording and emphasis from those shown here. |
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